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Large Language Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/innovatingai/automind

공식 코드

AutoMind: Adaptive Knowledgeable Agent for Automated Data Science

https://github.com/intellabs/nlp-architect

공식 코드

Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs

https://github.com/intellabs/rag-fit

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SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models

https://github.com/intellabs/rag-retrieval-study

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Toward Optimal Search and Retrieval for RAG

https://github.com/intelligolabs/Le-RNR-Map

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Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language

https://github.com/intellisensing/rs-agent

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RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent

https://github.com/internlm/acmetrace

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Characterization of Large Language Model Development in the Datacenter

https://github.com/internlm/huixiangdou

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Labeling supervised fine-tuning data with the scaling law

https://github.com/internlm/internlm-law

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InternLM-Law: An Open Source Chinese Legal Large Language Model

https://github.com/intfloat/simkgc

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SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

https://github.com/intitni/copilotforxcode

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Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework

https://github.com/intuit-ai-research/knowledge-infused-ai/tree/main/synthetic-knowledge-ingestion

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Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models

https://github.com/invictus717/MiCo

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Explore the Limits of Omni-modal Pretraining at Scale

https://github.com/ioannis-papadimitriou/rag-playground

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RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems

https://github.com/iodike/chronokge

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Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations

https://github.com/ionutiga/llms-for-kgc

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Assessing LLMs Suitability for Knowledge Graph Completion

https://github.com/ipouyall/can-llms-be-lateral-thinkers

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uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?

https://github.com/iqvianlp/llm-onto-infuse

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Towards Ontology-Enhanced Representation Learning for Large Language Models

https://github.com/iqvianlp/ontologyrag

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OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models

https://github.com/ireklos/pathe

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PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings

https://github.com/irenamal/ec-kity

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Evolving Assembly Code in an Adversarial Environment

https://github.com/irenezihuili/cgprompt

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Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education

https://github.com/irenezihuili/graphusion

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Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective

https://github.com/irenezihuili/nnkgc

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NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods

https://github.com/irgroup/suir

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Context-Driven Interactive Query Simulations Based on Generative Large Language Models

https://github.com/irlabamsterdam/cone-rag

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Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets

https://github.com/irokin/GPFL

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Towards Learning Instantiated Logical Rules from Knowledge Graphs

https://github.com/irokin/RuleHierarchy

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Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs

https://github.com/isaacwasserman/LongRAG

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Enhancing Retrieval in QA Systems with Derived Feature Association

https://github.com/isabellelorge/dtd

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Detecting the Clinical Features of Difficult-to-Treat Depression using Synthetic Data from Large Language Models

https://github.com/ise-uet-vnu/rambo

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RAMBO: Enhancing RAG-based Repository-Level Method Body Completion

https://github.com/isee-laboratory/llmdet

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LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models

https://github.com/isen-zhang/aclue

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Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE

https://github.com/isitnavajo/NavajoDetector

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Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages

https://github.com/ist-daslab/panzamail

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Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant

https://github.com/istarryn/dllm2rec

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Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model

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